| Thursday, 18-09-2025 |
9.00-12.00 |
Kathleen Kenyon Building, Room 1.21 |
Welcome
Intro to R/RStudio
R Basics
Project Organisation
Cleaning data |
| Thursday, 18-09-2025 |
13.00-16.00 |
Kathleen Kenyon Building, Room 1.21 |
Understanding Dental Data |
R
Pronounced /’Arrrgh/
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Why R?
R is a free and open source software environment for statistical computing and graphics
There are 20000+ available packages on CRAN
The R community is pretty cool
![Header text "R learners" above five friendly monsters holding up signs that together read "we believe in you."]()
Artwork by @allison_horst.
Why RStudio?
RStudio is an integrated development environment (IDE) specifically for R
It provides a bunch of extra features to make using R a delight!
tidyverse
The tidyverse is a collection of R packages sharing the same data science philosophy
It provides a nice workflow for cleaning, visualising, and transforming data
Aspects of ‘base R’ will also be covered
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About the materials
It is not enough to cover all important topics.
It is enough to teach you how to find answers and implement them yourself.
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The datasets: Sheep Astragali
Sheep astragulus morphology from Iron Age Eastern Mediterranean.
nmar79. (2023). nmar79/Med_Sheep_Astragals: v0.1 (v0.1). Zenodo. https://doi.org/10.5281/zenodo.10276147
The datasets: Kiwulan Burials
Burial data from northeastern Taiwan ranging from the Iron Age through the European colonization period.
Li-Ying Wang & Ben Marwick, (2021). Compendium of R code and data for “A Bayesian networks approach to infer social changes from burials in northeastern Taiwan during the European colonization period”. Accessed 23 Aug 2021. Online at https://osf.io/xga6n/
The datasets: Chelsea Old Church
